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Currently, the new ServiceNow connector in Azure Data Factory (ADF) does not support passing SQL queries directly, unlike the legacy connector.
Here are some potential workarounds to achieve similar functionality with the new ServiceNow connector:
- The new connector supports data filtering using ServiceNow's native query syntax (encoded queries). You can utilize this option to narrow down the data retrieved, similar to using a WHERE clause in SQL.
- If you require more flexibility, you might consider using the ServiceNow Table API, which supports custom queries and data extraction. You can integrate this API call within an ADF web activity or as a separate data pipeline step.
- After fetching data with broader filters, you can use Data Flows in ADF to perform transformations and filtering, effectively replicating the results of your previous SQL queries.
- For a more complex scenario, you may create pre-processing logic using Azure Functions, PowerShell scripts, or other tools to extract and prepare data before connecting to the new ServiceNow connector.
- Another option is to move the data to an intermediate staging area (e.g., Azure SQL or storage) and apply SQL transformations there before proceeding with further data processing.
Since the new connector is still evolving, consider providing feedback to Microsoft regarding the need for SQL query support in the new ServiceNow connector. User feedback can influence future updates and enhancements to the connector.
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